Learnable Mixed-precision and Dimension Reduction Co-design for Low-storage Activation.
Yu-Shan TaiCheng-Yang ChangChieh-Fang TengAn-Yeu Andy WuPublished in: SiPS (2022)
Keyphrases
- dimension reduction
- principal component analysis
- feature extraction
- low dimensional
- high dimensional
- data mining and machine learning
- variable selection
- singular value decomposition
- discriminative information
- feature space
- random projections
- cluster analysis
- high dimensionality
- preprocessing
- linear discriminant analysis
- partial least squares
- high dimensional problems
- high dimensional data
- manifold learning
- unsupervised learning
- feature selection
- dimension reduction methods
- computer vision
- dimensionality reduction
- nearest neighbor
- data points
- high dimensional data analysis